{"title":"Handbook of Research on Solving Modern Healthcare Challenges With Gamification","authors":"","doi":"10.4018/978-1-7998-7472-0","DOIUrl":"https://doi.org/10.4018/978-1-7998-7472-0","url":null,"abstract":"","PeriodicalId":225442,"journal":{"name":"Advances in Medical Technologies and Clinical Practice","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125027575","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Lead Optimization in the Drug Discovery Process","authors":"S. L. Prabu, R. Thirumurugan","doi":"10.4018/978-1-5225-7326-5.CH003","DOIUrl":"https://doi.org/10.4018/978-1-5225-7326-5.CH003","url":null,"abstract":"Discovering a new drug molecule against disease is the main objective of drug discovery. Lead optimization is one of the important steps and acts as a starting point. Over the years, it has significantly changed the drug discovery process. Its main focus is the development of preclinical candidates from “Hit” or “Lead.” Lead optimization comprises lead selection and optimization, drug candidate confirmation, and preclinical drug characterization. Lead optimization process can improve the effectiveness towards its target potency, selectivity, protein binding, pharmacokinetic parameters, and to develop a good preclinical candidate. Lead optimization from high-throughput screening to identification of clinical drug candidate is a seamless process that draws new techniques for accelerated synthesis, purification, screening from iterative compound libraries, validation, and to deliver clinical drug candidate with limited human resources. In conclusion, lead optimization phase is done under the suggestion that the optimized lead molecule will have activity against a particular disease.","PeriodicalId":225442,"journal":{"name":"Advances in Medical Technologies and Clinical Practice","volume":"499 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129943926","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Internet of Things in Healthcare","authors":"R. Thangaraj, S. Rajendar, Vidhya Kandasamy","doi":"10.4018/978-1-7998-1090-2.ch002","DOIUrl":"https://doi.org/10.4018/978-1-7998-1090-2.ch002","url":null,"abstract":"Healthcare motoring has become a popular research in recent years. The evolution of electronic devices brings out numerous wearable devices that can be used for a variety of healthcare motoring systems. These devices measure the patient's health parameters and send them for further processing, where the acquired data is analyzed. The analysis provides the patients or their relatives with the medical support required or predictions based on the acquired data. Cloud computing, deep learning, and machine learning technologies play a prominent role in processing and analyzing the data respectively. This chapter aims to provide a detailed study of IoT-based healthcare systems, a variety of sensors used to measure parameters of health, and various deep learning and machine learning approaches introduced for the diagnosis of different diseases. The chapter also highlights the challenges, open issues, and performance considerations for future IoT-based healthcare research.","PeriodicalId":225442,"journal":{"name":"Advances in Medical Technologies and Clinical Practice","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129107629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Healing Through the Arts for Non-Clinical Practitioners","authors":"Jenny Bopp, Amy M. Grebe","doi":"10.4018/978-1-5225-5981-8","DOIUrl":"https://doi.org/10.4018/978-1-5225-5981-8","url":null,"abstract":"Healing Through the Arts for Non-Clinical Practitioners is an essential reference source that examines and describes arts-based interventions and experiences that support the healing process outside of the medical eld. Featuring research on topics such as arts-based interventions and the use of writing, theatre, and embroidery as methods of healing, this book is ideally designed for academicians, non-clinical practitioners, educators, artists, and rehabilitation professionals.","PeriodicalId":225442,"journal":{"name":"Advances in Medical Technologies and Clinical Practice","volume":"127 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133005716","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Computational Investigation of Versatile Activity of Piperine","authors":"Thenmozhi Marudhadurai, N. Irfan","doi":"10.4018/978-1-5225-7326-5.CH006","DOIUrl":"https://doi.org/10.4018/978-1-5225-7326-5.CH006","url":null,"abstract":"Piperine is known for its versatile therapeutic activity. It has been used for various disease conditions (e.g., cold, cough, etc.). Piperine is an alkaloid found in black pepper. It possesses various pharmacological actions like anti-inflammatory, anti-oxidant, anti-cholinergic, and anti-cancerous. The above-mentioned properties will be studied by selecting target proteins COX-2 protein, angiotensin converting enzyme, acetylcholineesterases, and survivin using computational docking study. This chapter explains the inhibition property of piperine against selected target protein from the results of docking studies. Based on the docking scores and protein-ligand interactions, piperine was found to bind well in the active site of the selected target proteins. It ensures the binding efficacy of piperine against selected target proteins. Docking scores and protein-ligand interactions plays an important role in its therapeutic activity.","PeriodicalId":225442,"journal":{"name":"Advances in Medical Technologies and Clinical Practice","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127905287","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Real-Time Cardio Monitoring and Characterization of Diseases Introducing Statistical and Spectrogram Analysis","authors":"Soumyendu Bhattacharjee, Subham Ghosh, B. Neogi","doi":"10.4018/978-1-5225-7796-6.CH009","DOIUrl":"https://doi.org/10.4018/978-1-5225-7796-6.CH009","url":null,"abstract":"This chapter provides significant theoretical and systematic frameworks and the latest empirical research towards the development of an automated cardiovascular disorder diagnostic system with the classifier. This research proposes an accurate non-invasive model of the cardiovascular diseases diagnostic system. This model of diagnostic system support superior mobility with continuous real-time monitoring facility. This monitoring system will uncover a new dimension towards cardiovascular research. A physician will able to monitor several heart patients remotely with this device. Also, they can prescribe proper medicine remotely to the patient in an emergency. The system also has a provision to alert the patient by predicting the specific type of cardiovascular disorder accurately. An automated cardiovascular disorder diagnostic system development focuses towards the prime objective. Another objective is the adoption of modern classification technique for detecting cardiovascular disorders with high accuracy.","PeriodicalId":225442,"journal":{"name":"Advances in Medical Technologies and Clinical Practice","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126586386","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Divya Dasagrandhi, A. Ravindran, Anusuyadevi Muthuswamy, K. S. Jayachandran
{"title":"Construction and Analysis of Protein-Protein Interaction Network","authors":"Divya Dasagrandhi, A. Ravindran, Anusuyadevi Muthuswamy, K. S. Jayachandran","doi":"10.4018/978-1-5225-7326-5.CH009","DOIUrl":"https://doi.org/10.4018/978-1-5225-7326-5.CH009","url":null,"abstract":"Understanding the mechanisms of a disease is highly complicated due to the complex pathways involved in the disease progression. Despite several decades of research, the occurrence and prognosis of the diseases is not completely understood even with high throughput experiments like DNA microarray and next-generation sequencing. This is due to challenges in analysis of huge data sets. Systems biology is one of the major divisions of bioinformatics and has laid cutting edge techniques for the better understanding of these pathways. Construction of protein-protein interaction network (PPIN) guides the modern scientists to identify vital proteins through protein-protein interaction network, which facilitates the identification of new drug target and associated proteins. The chapter is focused on PPI databases, construction of PPINs, and its analysis.","PeriodicalId":225442,"journal":{"name":"Advances in Medical Technologies and Clinical Practice","volume":"2 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113957413","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Next Generation Sequencing Techniques and Application in Drug Discovery and Development","authors":"A. Hussain","doi":"10.4018/978-1-5225-7326-5.CH011","DOIUrl":"https://doi.org/10.4018/978-1-5225-7326-5.CH011","url":null,"abstract":"Next-generation sequencing or massively parallel sequencing describe DNA sequencing, RNA sequencing, or methylation sequencing, which shows its great impact on the life sciences. The recent advances of these parallel sequencing for the generation of huge amounts of data in a very short period of time as well as reducing the computing cost for the same. It plays a major role in the gene expression profiling, chromosome counting, finding out the epigenetic changes, and enabling the future of personalized medicine. Here the authors describe the NGS technologies and its application as well as applying different tools such as TopHat, Bowtie, Cufflinks, Cuffmerge, Cuffdiff for analyzing the high throughput RNA sequencing (RNA-Seq) data.","PeriodicalId":225442,"journal":{"name":"Advances in Medical Technologies and Clinical Practice","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132586391","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Tooth Wear","authors":"T. Sierpińska","doi":"10.4018/978-1-5225-9254-9.CH012","DOIUrl":"https://doi.org/10.4018/978-1-5225-9254-9.CH012","url":null,"abstract":"Tooth wear is considered a normal, age-dependent, physiological process that leads to the loss of enamel and dentine. However, in some cases the process is so progressive that it may be regarded as severe or pathological. The focus of this chapter is to present the consequences of tooth wear resultant from mechanical reasons, such as parafunction, excessive masticatory forces, imbalanced occlusal contacts, and hyperactive masticatory muscles. This chapter will also outline preventative strategies that can predictably reduce the progression of pathologic wear, which employ the T-Scan 8/BioEMG synchronization module. These two objective companion technologies assess the occlusion before, during, and after dental treatment, as well as predictably control the long-term stability of newly-installed fixed, implant-supported, or removable prostheses. Their synchronization correlates muscle activity level information directly to occlusal contact force and time-sequencing information, which when applied together in the wear patient, can be instrumental in tempering and eliminating pathologic occlusal wear.","PeriodicalId":225442,"journal":{"name":"Advances in Medical Technologies and Clinical Practice","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133204287","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Fun and Games","authors":"Helena Martins, A. Dores","doi":"10.4018/978-1-7998-7472-0.ch014","DOIUrl":"https://doi.org/10.4018/978-1-7998-7472-0.ch014","url":null,"abstract":"Gamification is a relatively new approach that allows the use of videogame design techniques in contexts that are originally not game related, including for the promotion and education of health outcomes. Gamification has been used in many contexts, but healthcare practices, which include often boring, frustrating, or painful tasks, can especially benefit from the fun enjoyable games people play for entertainment purposes. Games can be helpful both promoting an increase in health knowledge and behaviors, as well as the positive emotions elicited by health-related contents and behaviors. This chapter begins by discussing the concept of gamification, the gamification toolbox, and gamer taxonomies and the different uses of gamification and game-based approaches in the healthcare context are explored, to figure out what the key success elements are and why this promising approach has yet to achieve its wide-spread potential use.","PeriodicalId":225442,"journal":{"name":"Advances in Medical Technologies and Clinical Practice","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114191993","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}